Titlebook: E-Commerce and Intelligent Methods; Javier Segovia,Piotr S. Szczepaniak,Marian Niedzwi Book 2002 Springer-Verlag Berlin Heidelberg 2002 DO

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Improving User Profiles for E-Commerce by Genetic Algorithmsnge for these systems is bridging the gap between the physical characteristics of data with the users’ perceptions. In order to address this challenge, employing user profiles to improve accuracy becomes essential. However, the system performance may degrade due to inaccuracy of user profiles. There

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Automatic Web User Profiling and Personalization Using Robust Fuzzy Relational Clusteringreturned from a Web site is a desired feature that can enhance server performance improve system design, and lead to wise marketing decisions in electronic commerce. Mining typical user profiles from the vast amount of historical data stored in access logs is an important component of Web personaliz

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978-3-7908-2514-5Springer-Verlag Berlin Heidelberg 2002

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E-Commerce and Intelligent Methods978-3-7908-1779-9Series ISSN 1434-9922 Series E-ISSN 1860-0808

對待

https://doi.org/10.1007/978-3-662-02243-6This chapter addresses factors, which play limiting role in international trade. There were discussed main barriers in general with an emphasis on procedural barriers. These barriers are connected with archaic, paper-based bureaucracy consuming a lot of efforts, time and money. They can be eliminated or reduced by multi-aspect trade facilitation.

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https://doi.org/10.1007/978-3-662-42042-3This chapter addresses sources of electronic commerce, which are mainly connected with electronic data interchange (EDI). To have a clear picture how electronic commerce works, it is necessary to call to mind some basic information about EDI: its components, its fundamental benefits and standards.

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hematuria